“I have to do what I believe”: Sudanese women’s beliefs and resistance to hegemonic practices at home and during experiences of maternity care in Canada
Bibliographic record
Abstract
BACKGROUND: Evidence suggests that immigrant women having different ethnocultural backgrounds than those dominant in the host country have difficulty during their access to and reception of maternity care services, but little knowledge exists on how factors such as ethnic group and cultural beliefs intersect and influence health care access and outcomes. Amongst immigrant populations in Canada, refugee women are one of the most vulnerable groups and pregnant women with immediate needs for health care services may be at higher risk of health problems. This paper describes findings from the qualitative dimension of a mixed-methodological study. METHODS: A focused ethnographic approach was conducted in 2010 with Sudanese women living in an urban Canadian city. Focus group interviews were conducted to map out the experiences of these women in maternity care, particularly with respect to the challenges faced when attempting to use health care services. RESULTS: Twelve women (mean age 36.6 yrs) having experience using maternity services in Canada within the past two years participated. The findings revealed that there are many beliefs that impact upon behaviours and perceptions during the perinatal period. Traditionally, the women mostly avoid anything that they believe could harm themselves or their babies. Pregnancy and delivery were strongly believed to be natural events without need for special attention or intervention. Furthermore, the sub-Saharan culture supports the dominance of the family by males and the ideology of patriarchy. Pregnancy and birth are events reflecting a certain empowerment for women, and the women tend to exert control in ways that may or may not be respected by their husbands. Individual choices are often made to foster self and outward-perceptions of managing one's affairs with strength. CONCLUSION: In today's multicultural society there is a strong need to avert misunderstandings, and perhaps harm, through facilitating cultural awareness and competency of care rather than misinterpretations of resistance to care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".